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Performance Implications of NoCs on 3D-Stacked Memories: Insights from the Hybrid Memory Cube

Authors :
Hadidi, Ramyad
Asgari, Bahar
Young, Jeffrey
Mudassar, Burhan Ahmad
Garg, Kartikay
Krishna, Tushar
Kim, Hyesoon
Source :
2018 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)
Publication Year :
2017

Abstract

Memories that exploit three-dimensional (3D)-stacking technology, which integrate memory and logic dies in a single stack, are becoming popular. These memories, such as Hybrid Memory Cube (HMC), utilize a network-on-chip (NoC) design for connecting their internal structural organizations. This novel usage of NoC, in addition to aiding processing-in-memory capabilities, enables numerous benefits such as high bandwidth and memory-level parallelism. However, the implications of NoCs on the characteristics of 3D-stacked memories in terms of memory access latency and bandwidth have not been fully explored. This paper addresses this knowledge gap by (i) characterizing an HMC prototype on the AC-510 accelerator board and revealing its access latency behaviors, and (ii) by investigating the implications of such behaviors on system and software designs.

Details

Database :
arXiv
Journal :
2018 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)
Publication Type :
Report
Accession number :
edsarx.1707.05399
Document Type :
Working Paper
Full Text :
https://doi.org/10.1109/ISPASS.2018.00018